Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Classification of Systems-I01:26

Classification of Systems-I

179
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
179
Classification of Systems-II01:31

Classification of Systems-II

139
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
139
Aggregates Classification01:29

Aggregates Classification

317
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
317
Perceptual Constancy01:12

Perceptual Constancy

382
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
382
Force Classification01:22

Force Classification

1.2K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.2K
Classification of Signals01:30

Classification of Signals

437
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
437

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A wireless battery-free intelligent system for in situ bacterial virulence detection and advanced wound therapy.

Biosensors & bioelectronics·2026
Same author

Real-CD: Change Detection Under Real-World Complex Interference via Dynamic Distribution Correction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

FA-Mamba: frequency attention driven Mamba for multimodal remote sensing classification.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Magnetically Controlled Delivery of Injectable Magnetoactive Adhesive Hydrogel for Vascular Repair in the Challenging Blood Environment.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Engineering surfaces of polymer-based medical implants for tissue repair and regeneration.

Journal of controlled release : official journal of the Controlled Release Society·2025

相关实验视频

Updated: Jun 23, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K

半RS-COC:复杂的遥感场景的半监督分类,具有跨对象一致性.

Qiang Liu, Jun Yue, Yang Kuang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |June 19, 2024
    PubMed
    概括

    本研究介绍了SemiRS-COC,这是一种用于遥感 (RS) 场景的新的半监督学习方法. 它生成可靠的对象级伪标签,以提高复杂卫星图像的分类准确性.

    科学领域:

    • 计算机科学 计算机科学
    • 遥感 遥感 遥感 遥感
    • 机器学习 机器学习

    背景情况:

    • 半监督学习 (SSL) 利用未标记的数据进行模型培训.
    • 由于复杂的场景,卫星地球观测图像对SSL提出了独特的挑战.
    • 现有的SSL方法因背景干扰和遥感数据的类内变化而受到不可靠的伪标签的困扰.

    研究的目的:

    • 为复杂的遥感场景提出一种新的半监督分类方法,SemiRS-COC.
    • 通过利用图像中的和图像之间的对象相似性来生成可靠的对象级伪标签.
    • 为了提高半监督分类在遥感应用中的性能.

    主要方法:

    • 开发了一个本地自学对象感知 (LSLOP) 机制,以解决背景对象干扰.
    • 引入了跨对象一致性伪标签 (COCPL) 策略,以处理类内差异.
    • 利用前景对象之间的特征空间相似性,用于强大的伪标签生成.

    主要成果:

    • 半RS-COC有效地生成可靠的对象级伪标签.
    • 该方法在三个基准遥感数据集上表现出优越的性能,与最先进的技术相比.
    • 在具有有限标记数据的复杂遥感场景中提高了分类准确性.

    更多相关视频

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    517
    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
    12:26

    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

    Published on: October 11, 2016

    13.3K

    相关实验视频

    Last Updated: Jun 23, 2025

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    9.0K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    517
    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
    12:26

    Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

    Published on: October 11, 2016

    13.3K

    结论:

    • 在复杂的遥感场景中,SemiRS-COC为半监督分类提供了强大的解决方案.
    • 拟议的LSLOP和COCPL机制显著提高了伪标签质量和模型性能.
    • 这项工作推动了半监督学习的应用,用于分析大规模的卫星地球观测数据.